Joy, adaptation, and agency in the resilience narratives of primary caregivers during the COVID-19 pandemic
Bibliographic record
Abstract
The COVID-19 pandemic has ushered in profound educational, occupational, and familial challenges for school-aged children and their primary caregivers. During this transitional period, resilience was often featured in pandemic discourse as a solution to managing these unprecedented shifts. However, very little concrete information was provided as to how caregivers should or could mobilize this oft-cited resource. Our qualitative study was designed to explore how primary caregivers survived or thrived, using resilience as an experiential window through which to better understand how they coped with the complex, unprecedented challenges ushered in by the COVID-19 pandemic. One-hour interviews were conducted with caregivers ( n = 22, all but two identified as female). Analysis revealed that primary caregivers understood resilience to be surviving the pandemic and making it through with the fewest scars for both them and their children. Caregivers cultivated resilience through finding joy during the hardships, supporting their children’s adaptations to the changing context, and resisting rules. Surviving the pandemic required resilience, and while this emerged in caregivers’ definitions, their lived experience highlights how joy, supporting adaptations, and resistance were employed to cultivate resilience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".